Automated Test Engineer

Overview

Leidos is seeking an Automated Test Engineer (Level
3) to join our team in Egg Harbor Township, NJ, or Gaithersburg, MD supporting the verification, validation, and qualification of advanced systems within the National Airspace System (NAS). In this role, you ll apply automated testing methodologies and AI/ML techniques to assess and enhance Air Traffic Control (ATC) modernization initiatives. The selected candidate will design, develop, and sustain automated test frameworks supporting AI- and ML-enabled capabilities that drive operational efficiency and decision-making, such as trajectory prediction, conflict detection, traffic flow management, and workload optimization.

This position plays a critical role in ensuring compliance with FAA systems assurance, safety, and performance standards.

If you re ready for a challenging and rewarding opportunity that pushes the boundaries of innovation in aviation technology, we d love to connect with you. Your most meaningful work is ahead!

The Mission

For more than five decades, Leidos has been a trusted partner in delivering advanced Air Traffic Management (ATM) systems for Air Navigation Service Providers (ANSPs) across the globe. Our solutions keep customers ahead of accelerating aviation demands by integrating proven, globally deployed technologies with next-generation capabilities co-developed alongside our ANSP and technology partners. From tower and terminal systems to en route, oceanic, and comprehensive flow control solutions, we re helping define the future of safe and efficient airspace management.

The Challenge

• Responsible for Dev Ops-related activities both individually and as a member of an Agile team. Design, develop, and maintain automated test suites and frameworks using Squish, Selenium, and CI (e.g. Jenkins, Gitlab) to ensure the quality and reliability of software applications
• Develop System of Systems (SoS) Test Architecture to ensure Large Scale Effectivity
• Implement AI tools to enhance test automation
• Troubleshoot and debug automated tests to identify root causes of failures and ensure test reliability
• Work closely and collaborate with development teams to identify and verify testable requirements
• Implement automated testing solutions and ensure that the software is testable and meets the requirement verification needs of the product
• Write and execute automated test scripts using various testing tools and frameworks
• Maintain clear and concise documentation
• Track issues
• Manage VMs & dev containers
• Use CI/CD tools
• Maintain test artifacts such as Verification Requirements Test Matrix
• Participate in daily stand-ups, Sprint Planning, Release Planning, and other related team activities
• Develop, implement, and maintain automated test frameworks to support verification and validation (V&V) of complex AI/ML systems within ATC environments.
• Design system-level and component-level test procedures, test cases, and data sets based on formal requirements and system specifications.
• Lead efforts to evaluate AI/ML model behavior, accuracy, and performance under operationally representative scenarios and datasets.
• Integrate automated test tools and continuous testing pipelines (e.g., CI/CD) to enhance system reliability and regression coverage.
• Conduct root cause analysis and defect resolution in coordination with software, systems, and AI engineering teams.
• Execute integration testing of distributed, safety-critical systems using containerized or virtualized environments.
• Develop performance metrics, traceability matrices, and test reports in accordance with FAA, NASA, or DoD documentation standards.
• Support test readiness reviews, system qualification events, and formal certification processes as required.
• Assure the functional integrity, reliability, and safety of mission-critical ATC expansion systems. Test results directly support system accreditation, operational readiness, and compliance with NAS modernization objectives.
• Perform highly complex test engineering functions requiring in-depth knowledge of AI/ML-based systems and automation frameworks. Develop innovative approaches to test design and data analysis to assess intelligent, adaptive system…